MODEL RADAR · OPENROUTER
Comparer les modèles d’IA sur une même base.
Tous les modèles actuellement référencés par OpenRouter, avec des informations cohérentes sur les modalités, le contexte, les tarifs, la configuration et les fournisseurs.
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- modèles
- 631
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- 29 sept. 2026
thinkingmachinesThinking Machines: Inkling Small (free)
Inkling Small is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 12B active parameters out of 276B total. It is positioned as the smaller, more efficient member of...
- Contexte
- 1.0M
- Entrée
- text · image · audio
- Sortie
- text
minimaxMiniMax: H3
MiniMax H3 is a lightweight, open-weights video generation model from MiniMax. It is designed for precise multimodal editing and controlled content generation, including instruction-guided edits, text and brand rendering, and...
- Contexte
- Non indiqué
- Entrée
- text · image · video · audio
- Sortie
- video
fish-audioFish Audio: Transcribe 1
Transcribe 1 is a speech-to-text model from Fish Audio. It is suited for audio transcription with automatic language detection and can return timestamped word-level segments when alignment details are requested.
- Contexte
- Non indiqué
- Entrée
- audio
- Sortie
- transcription
fish-audioFish Audio: S1
S1 is a multilingual text-to-speech model from Fish Audio. It is suited for voice applications that need broad emotional expression, using parenthetical controls to guide speaking style across its supported...
- Contexte
- Non indiqué
- Entrée
- text
- Sortie
- speech
fish-audioFish Audio: S2 Pro
S2 Pro is a multilingual text-to-speech model from Fish Audio. It is suited for expressive narration and multi-speaker dialogue, with natural-language controls for speaking style and emotion.
- Contexte
- Non indiqué
- Entrée
- text
- Sortie
- speech
fish-audioFish Audio: S2.1 Pro Free (free)
S2.1 Pro Free is the no-cost variant of Fish Audio S2.1 Pro, intended for testing, prototyping, and low-volume applications. It provides the same synthesis capabilities without production latency or availability...
- Contexte
- Non indiqué
- Entrée
- text
- Sortie
- speech
fish-audioFish Audio: S2.1 Pro
S2.1 Pro is a production-oriented text-to-speech model from Fish Audio. It is suited for multilingual voice applications, expressive narration, and dialogue synthesis, with open-ended natural-language controls for speaking style and...
- Contexte
- Non indiqué
- Entrée
- text
- Sortie
- speech
runwayRunway: Aleph 2.0
Runway Aleph 2.0 is an in-context video editing model from Runway. It applies text instructions and keyframe-guided edits across existing footage while preserving details that are not meant to change....
- Contexte
- Non indiqué
- Entrée
- text · image · video
- Sortie
- video
runwayRunway: Gen-4.5
Runway Gen-4.5 is a video generation model from Runway for text-to-video and image-to-video workflows. It is designed for cinematic scene creation with strong motion quality, visual fidelity, and prompt adherence....
- Contexte
- Non indiqué
- Entrée
- text · image
- Sortie
- video
qwenQwen: Qwen3.7 Flash
Qwen3.7 Flash is a vision-language reasoning model from Alibaba. It is suited for multimodal agents, visual coding, search, and computer interaction, with strengths in object recognition, spatial understanding, and real-world...
- Contexte
- 1M
- Entrée
- text · image · video
- Sortie
- text
voyageaiVoyageAI by MongoDB: rerank-2.5-lite
rerank-2.5-lite is a reranker optimized for both latency and quality, delivering a 7.16% improvement in retrieval accuracy over Cohere Rerank v3.5 across 93 datasets. It also outperformed Cohere Rerank v3.5...
- Contexte
- 32K
- Entrée
- text
- Sortie
- rerank
voyageaiVoyageAI by MongoDB: rerank-2.5
rerank-2.5 is a cutting-edge reranker optimized for quality, delivering a 7.94% improvement in retrieval accuracy over Cohere Rerank v3.5 across 93 datasets. It also outperformed Cohere Rerank v3.5 by 12.70%...
- Contexte
- 32K
- Entrée
- text
- Sortie
- rerank
voyageaiVoyageAI by MongoDB: voyage-multimodal-3.5
voyage-multimodal-3.5 is a state-of-the-art multimodal embedding model capable of vectorizing not only text, images, and video individually, but also content that interleaves all three modalities. It delivers excellent performance for...
- Contexte
- 32K
- Entrée
- text · image
- Sortie
- embeddings
voyageaiVoyageAI by MongoDB: voyage-4-lite
voyage-4-lite is a lightweight, general-purpose embedding model optimized for low latency and cost. Enabled by Matryoshka learning and quantization-aware training, voyage-4-lite supports embeddings in 2048, 1024, 512, and 256 dimensions,...
- Contexte
- 32K
- Entrée
- text
- Sortie
- embeddings
voyageaiVoyageAI by MongoDB: voyage-4
voyage-4 is a general-purpose (including multilingual) embedding model optimized for retrieval/search and AI applications. voyage-4 supports embeddings in 2048, 1024, 512, and 256 dimensions, with multiple quantization options. Learn more...
- Contexte
- 32K
- Entrée
- text
- Sortie
- embeddings
voyageaiVoyageAI by MongoDB: voyage-4-large
voyage-4-large is a state-of-the-art general-purpose and multilingual embedding optimized for retrieval quality. Enabled by Matryoshka learning and quantization-aware training, voyage-4-large supports embeddings in 2048, 1024, 512, and 256 dimensions, with...
- Contexte
- 32K
- Entrée
- text
- Sortie
- embeddings
anthropicAnthropic: Claude Opus 5
Claude Opus 5 is Anthropic’s flagship model for demanding reasoning, coding, and long-horizon agentic work. It is particularly strong at end-to-end software tasks, code review and bug finding, visual analysis...
- Contexte
- 1M
- Entrée
- text · image · file
- Sortie
- text
anthropicAnthropic: Claude Opus 5 (batch)
Claude Opus 5 is Anthropic’s flagship model for demanding reasoning, coding, and long-horizon agentic work. It is particularly strong at end-to-end software tasks, code review and bug finding, visual analysis...
- Contexte
- 1M
- Entrée
- text · image · file
- Sortie
- text
microsoftMicrosoft AI: MAI-Image-2.5 Pro
Microsoft AI's MAI-Image-2.5 is a high-quality image generation model available via Azure AI Foundry. It produces photorealistic and artistic images from text prompts with support for various aspect ratios.
- Contexte
- 4K
- Entrée
- text · image
- Sortie
- image
microsoftMicrosoft AI: MAI-Voice-2-Flash
MAI-Voice-2-Flash is a low-latency text-to-speech model from Microsoft AI for voice agents, assistants, call centers, accessibility, narration, and other interactive applications. It generates expressive 24 kHz mono speech across 15...
- Contexte
- Non indiqué
- Entrée
- text
- Sortie
- speech
inclusionaiinclusionAI: Ling 3.0 Flash
Ling-3.0-flash is a 124B-parameter Mixture-of-Experts (MoE) model, with approximately 5.1B parameters activated per token. The model is designed with token efficiency and production-scale agentic inference as key priorities, enabling developers...
- Contexte
- 262K
- Entrée
- text
- Sortie
- text
qwenQwen: Qwen-Audio-3.0-TTS Flash
Qwen-Audio-3.0-TTS Flash is Alibaba's fast, cost-efficient text-to-speech model, generating spoken audio from text via the DashScope Speech Synthesizer API.
- Contexte
- Non indiqué
- Entrée
- text
- Sortie
- speech
qwenQwen: Qwen-Audio-3.0-TTS Plus
Qwen-Audio-3.0-TTS Plus is Alibaba's higher-quality text-to-speech model, generating spoken audio from text via the DashScope Speech Synthesizer API.
- Contexte
- Non indiqué
- Entrée
- text
- Sortie
- speech
x-aiSpaceXAI: Grok STT 1.0
Grok STT is SpaceXAI's speech-to-text model, available via the REST /v1/stt endpoint. It supports transcription with word-level timestamps, optional speaker diarization, and multichannel audio.
- Contexte
- Non indiqué
- Entrée
- audio
- Sortie
- transcription